Chien‐Te Lin

3.4k citations
35 papers · 2.5k indexed · 1 hit paper · h-index 21

Chien‐Te Lin

35 papers receiving 2.5k citations

Hit Papers

Mitochondrial H2O2 emission and cellular redox state link...9932009202620142020250500750

Peers

Chien‐Te Lin
Comparison fields: 5 of 107
  • Physiology 1.3k
  • Rehabilitation 204
  • Complementary and alternative medicine 186
  • Aging 37
  • Cell Biology 342
Replace Daniel A. Kane with:
Daniel A. Kane Canada
James Lally Canada
Deanna P. Bracy United States
Christopher G. R. Perry Canada
Elizabeth V. Menshikova United States
Jacob Jeppesen Denmark
Leonardo R. Silveira Brazil
Raynald Bergeron Canada
Nathan Qi United States
Lykke Sylow Denmark
Chien‐Te Lin relative to Daniel A. Kane Canada Daniel A. Kane's profile →
Citations per field
00.5×1.5×
Daniel A. Kane · 1×
Citations per year

Countries citing papers authored by Chien‐Te Lin

Since Specialization
Citations

This map shows the geographic impact of Chien‐Te Lin's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Chien‐Te Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chien‐Te Lin more than expected).

Fields of papers citing papers by Chien‐Te Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chien‐Te Lin. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Chien‐Te Lin. The network helps show where Chien‐Te Lin may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Chien‐Te Lin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Chien‐Te Lin Line = papers co-authored together Chien‐Te Lin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20243
2 202411
3 20233
4 20221
5 202245
6 202118
7 20216
8 202024
9 201916
10 201834
11 2017132
12 201633
13 201522
14 2014120
15 201379
16 201398
17 201190
18 201088
19
Mitochondrial H2O2 emission and cellular redox state link excess fat intake to insulin resistance in both rodents and humansbreakdown →
2009993
20 20039

About Chien‐Te Lin

Chien‐Te Lin is a scholar working on Physiology, Complementary and alternative medicine, Rehabilitation, Cell Biology and Molecular Biology, having authored 35 papers that have together received 2.5k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (21 papers), Mitochondrial Function and Pathology (16 papers), Muscle metabolism and nutrition (7 papers), Muscle Physiology and Disorders (5 papers), Cardiovascular and exercise physiology (5 papers), ATP Synthase and ATPases Research (4 papers), Exercise and Physiological Responses (3 papers) and Chemotherapy-induced cardiotoxicity and mitigation (3 papers). The work is most often cited by research in Physiology (1.3k citations), Rehabilitation (204 citations), Complementary and alternative medicine (186 citations), Aging (37 citations) and Cell Biology (342 citations). Chien‐Te Lin has collaborated with scholars based in United States, Serbia and Czechia. Frequent co-authors include P. Darrell Neufer, Ethan J. Anderson, Daniel A. Kane, Ronald N. Cortright, Terence E. Ryan, Tracey Woodlief, Jesse W. Price, Kelsey H. Fisher‐Wellman, Li Kang and David H. Wasserman. Their work appears in journals such as Free Radical Biology and Medicine, Biochemical Journal, Molecular Metabolism, American Journal of Physiology-Endocrinology and Metabolism and Diabetes.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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